Satellite gravitational gradient data precision verification method based on tensor invariant theory
A gravitational gradient and data accuracy technology, applied in the field of satellite gravitational gradient data accuracy verification, can solve problems such as low accuracy, poor performance of satellite data, and inability to use
Active Publication Date: 2020-04-07
自然资源部国土卫星遥感应用中心
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[0003] The purpose of the present invention is to provide a method for verifying the accuracy of satellite gravitational gradient data, which is used to solve the problem of poor usability or even unusability of satellite data caused by the low accuracy of current satellite gravitational gradient data
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Embodiment 1
[0149] Embodiment 1 provides a method for verifying the accuracy of satellite gravitational gradient data based on tensor invariant theory, the verification method comprising the following steps:
[0150] Step A: Overall accuracy verification of satellite gravitational gradient tensor.
[0151] Wherein, described step A comprises the following steps:
[0152] Step A1: Gravitational gradient data accuracy verification before calibration;
[0153] Specifically, the step A1 includes the following steps:
[0154] Step A1-1: Establish tensor invariant system {I 1 , I 2 , I 3}, the tensor invariant system {I 1 , I 2 , I 3} is expressed as:
[0155] I 1 =V 11 +V 22 +V 33 (Formula 14-1)
[0156]
[0157]
[0158] In the formula: I 1 is the first invariant of the tensor invariant system; I 2 is the second invariant of the tensor invariant system; I 3 is the third invariant of the tensor invariant system; V 11 is the satellite gravitational gradient component in t...
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The invention discloses a satellite gravitational gradient data precision verification method based on a tensor invariant theory. The method comprises the following steps: verifying the overall precision of a satellite gravitational gradient tensor and verifying the component independent precision of the satellite gravitational gradient tensor, wherein the component independent precision verification of the satellite gravitational gradient tensor comprises independent precision verification of each component of the satellite gravitational gradient tensor before and after calibration. Accordingto the satellite gravitational gradient data precision verification method based on a tensor invariant theory provided by the invention, on the basis of the tensor invariant theory, the tensor invariant characteristic of a satellite gravitational gradient observation value is applied to precision verification before and after calibration of a gravitational gradient measurement satellite gravimeter, and overall precision verification of the six components of the gravitational gradient tensor is achieved. By introducing a priori gravitational field model for calibration, precision independent verification of the six components of the main diagonal line and an off-diagonal line of the gravitational gradient tensor can be realized.
Description
technical field [0001] The invention relates to the technical field of geodesy, in particular to a method for verifying the accuracy of satellite gravitational gradient data based on the theory of tensor invariance. Background technique [0002] Satellite gravitational gradient data are crucial for determining the short-wave fine structure in the Earth's gravitational field. The data accuracy of the satellite gravitational gradient is an important prerequisite for restricting the accuracy of the short-wave spectrum in the earth's gravitational field. To this end, satellite gravitational gradient measurements need to be calibrated and verified for accuracy. The accuracy verification of satellite gravitational gradient observations is an important evaluation process to ensure the stability and reliability of calibration results, and a key step in the quality check of observations. At present, the accuracy verification of satellite external calibration before and after calibr...
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IPC IPC(8): G01C25/00G01C21/04
CPCG01C21/04G01C25/00
Inventor 朱广彬常晓涛瞿庆亮刘伟窦显辉
Owner 自然资源部国土卫星遥感应用中心